Results 31 to 40 of about 22,624,005 (238)
Multi-Scale Low-Light Image Enhancement Network Based on U-Net [PDF]
Jisuanji gongcheng, 2022 Low light is a common phenomenon when shooting at night.Insufficient illumination causes serious loss of image details and reduces visual quality.The existing low-light image enhancement methods have insufficient perception and expression of features at ...
XU Chaoyue, YU Ying, HE Penghao, LI Miao, MA Yuhui
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Retinex Low-Illumination Image Enhancement Algorithm Based on Light Image Estimation [PDF]
Jisuanji gongcheng, 2021 The images collected in low-illumination environment are limited in the contrast, and suffer from detail loss and noise interference.To address the problem, a Retinex-based method is proposed to improve illumination map estimation and realize low ...
HAN Mengyan, LI Liangrong, JIANG Kai
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Low Light Image Enhancement Based on Multi-Scale Network Fusion
IEEE Access, 2022 At present, researchers have made great progress in the research of object detection, however, these studies mainly focus on the object detection of images under normal lighting, ignoring the target detection under low light.
Xuan Liu +8 more
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Low-light Image Enhancement Using the Cell Vibration Model [PDF]
, 2022 Low light very likely leads to the degradation of an image's quality and even causes visual task failures. Existing image enhancement technologies are prone to overenhancement, color distortion or time consumption, and their adaptability is fairly ...
Lei, Xiaozhou +9 more
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SPLIE: Optimal Illumination Estimation for Structure Preserving Low-light Image Enhancement [PDF]
Port Said Engineering Research Journal, 2021 The images taken in low-light conditions often have many flaws such as, color vividness and low visibility which negatively affects the performance of many vision-based systems.
Ghada Sandoub +3 more
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Convolutional Neural Network-Based Low Light Image Enhancement Method
Компьютерная оптикаWith advances in science and technology, remote sensing images are vital for vegetation monitoring. The use of remote sensing allows for the collection of widespread, multi-temporal data on vegetation, leading to a better comprehension and management of ...
M.X. Li, C.J. Xu
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Endoscopic image enhancement with noise suppression
Healthcare Technology Letters, 2018 Stereoscopic endoscopes have been used increasingly in minimally invasive surgery to visualise the organ surface and manipulate various surgical tools. However, insufficient and irregular light sources become major challenges for endoscopic surgery.
Wenyao Xia +2 more
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Channel splitting attention network for low‐light image enhancement
IET Image Processing, 2022 Low‐light enhancement is a crucial task in computer vision because of the limited dynamic range of digital imaging devices in poor lighting conditions. Images taken under low‐light conditions often suffer from insufficient brightness and severe noise. At
Bibo Lu +3 more
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DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement
Tsinghua Science and Technology, 2023 Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image enhancement.
Yonglong Jiang +4 more
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LiCENt: Low-Light Image Enhancement Using the Light Channel of HSL
IEEE Access, 2022 Images captured in low-brightness environments often lead to poor visibility and exhibit artifacts such as low brightness, low contrast, and color distortion.
Atik Garg, Xin-Wen Pan, Lan-Rong Dung
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